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Exploitative and Exploratory Attention in a Four-Armed Bandit Task. / Walker, Adrian R.; Le Pelley, Mike E.
; Beesley, Tom.
CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition. The Cognitive Science Society, 2017. p. 3484-3489 (CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Walker, AR, Le Pelley, ME
& Beesley, T 2017,
Exploitative and Exploratory Attention in a Four-Armed Bandit Task. in
CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition. CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, The Cognitive Science Society, pp. 3484-3489, 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017, London, United Kingdom,
26/07/17.
APA
Walker, A. R., Le Pelley, M. E.
, & Beesley, T. (2017).
Exploitative and Exploratory Attention in a Four-Armed Bandit Task. In
CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition (pp. 3484-3489). (CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition). The Cognitive Science Society.
Vancouver
Walker AR, Le Pelley ME
, Beesley T.
Exploitative and Exploratory Attention in a Four-Armed Bandit Task. In CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition. The Cognitive Science Society. 2017. p. 3484-3489. (CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition).
Author
Walker, Adrian R. ; Le Pelley, Mike E.
; Beesley, Tom. /
Exploitative and Exploratory Attention in a Four-Armed Bandit Task. CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition. The Cognitive Science Society, 2017. pp. 3484-3489 (CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition).
Bibtex
@inproceedings{c289822fa6034972a71f87140623624c,
title = "Exploitative and Exploratory Attention in a Four-Armed Bandit Task",
abstract = "When making decisions, we are often forced to choose between something safe we have chosen before, and something unknown to us that is inherently risky, but may provide a better long-term outcome. This problem is known as the Exploitation-Exploration (EE) Trade-Off. Most previous studies on the EE Trade-Off have relied on response data, leading to some ambiguity over whether uncertainty leads to true exploratory behavior, or whether the pattern of responding simply reflects a simpler ratio choice rule (such as the Generalized Matching Law (Baum, 1974; Herrnstein, 1961)). Here, we argue that the study of this issue can be enriched by measuring changes in attention (via eye-gaze), with the potential to disambiguate these two accounts. We find that when moving from certainty into uncertainty, the overall level of attention to stimuli in the task increases; a finding we argue is outside of the scope of ratio choice rules.",
keywords = "Attention, Bandit Task, Decision-Making, Exploitation/Exploration Trade-Off, Reinforcement Learning",
author = "Walker, {Adrian R.} and {Le Pelley}, {Mike E.} and Tom Beesley",
note = "Publisher Copyright: {\textcopyright} CogSci 2017.; 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017 ; Conference date: 26-07-2017 Through 29-07-2017",
year = "2017",
language = "English",
series = "CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition",
publisher = "The Cognitive Science Society",
pages = "3484--3489",
booktitle = "CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society",
}
RIS
TY - GEN
T1 - Exploitative and Exploratory Attention in a Four-Armed Bandit Task
AU - Walker, Adrian R.
AU - Le Pelley, Mike E.
AU - Beesley, Tom
N1 - Publisher Copyright:
© CogSci 2017.
PY - 2017
Y1 - 2017
N2 - When making decisions, we are often forced to choose between something safe we have chosen before, and something unknown to us that is inherently risky, but may provide a better long-term outcome. This problem is known as the Exploitation-Exploration (EE) Trade-Off. Most previous studies on the EE Trade-Off have relied on response data, leading to some ambiguity over whether uncertainty leads to true exploratory behavior, or whether the pattern of responding simply reflects a simpler ratio choice rule (such as the Generalized Matching Law (Baum, 1974; Herrnstein, 1961)). Here, we argue that the study of this issue can be enriched by measuring changes in attention (via eye-gaze), with the potential to disambiguate these two accounts. We find that when moving from certainty into uncertainty, the overall level of attention to stimuli in the task increases; a finding we argue is outside of the scope of ratio choice rules.
AB - When making decisions, we are often forced to choose between something safe we have chosen before, and something unknown to us that is inherently risky, but may provide a better long-term outcome. This problem is known as the Exploitation-Exploration (EE) Trade-Off. Most previous studies on the EE Trade-Off have relied on response data, leading to some ambiguity over whether uncertainty leads to true exploratory behavior, or whether the pattern of responding simply reflects a simpler ratio choice rule (such as the Generalized Matching Law (Baum, 1974; Herrnstein, 1961)). Here, we argue that the study of this issue can be enriched by measuring changes in attention (via eye-gaze), with the potential to disambiguate these two accounts. We find that when moving from certainty into uncertainty, the overall level of attention to stimuli in the task increases; a finding we argue is outside of the scope of ratio choice rules.
KW - Attention
KW - Bandit Task
KW - Decision-Making
KW - Exploitation/Exploration Trade-Off
KW - Reinforcement Learning
M3 - Conference contribution/Paper
AN - SCOPUS:85129301038
T3 - CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition
SP - 3484
EP - 3489
BT - CogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society
PB - The Cognitive Science Society
T2 - 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017
Y2 - 26 July 2017 through 29 July 2017
ER -
